Selecting evaluation functions in opponent-model search

DOI10.1016/j.tcs.2005.09.049zbMath1086.68120OpenAlexW2075391993MaRDI QIDQ817802

H. H. L. M. Donkers, Jos W. H. M. Uiterwijk, H. Jaap van den Herik

Publication date: 20 March 2006

Published in: Theoretical Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.tcs.2005.09.049

zbMATH Keywords

searchevaluation functionsBaoopponent models

Mathematics Subject Classification ID

Games involving graphs (91A43) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (3)

Logic and social cognition. The facts matter, and so do computational models ⋮ Limitations of learning in automata-based systems ⋮ Selecting evaluation functions in opponent-model search

Cites Work

• Unnamed Item
• Selecting evaluation functions in opponent-model search
• Pruning algorithms for multi-model adversary search
• Strategies anticipating a difference in search depth using opponent-model search
• Probabilistic opponent-model search
• Games solved: Now and in the future

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